20 citations · 24 across the 7 of their papers we have counts for
7 papers
Constrained Variable Projection for Structured Problems
Emanuele Zangrando, Sara Venturini, Francesco Rinaldi +1
Variable projection is a classical technique for separable nonlinear least-squares problems, in which variables that enter linearly are eliminated exactly, yielding a reduced nonli…
The Effects of Remote Working on Scientific Collaboration and Impact
Sara Venturini, Satyaki Sikdar, Martina Mazzarello +5
The COVID-19 pandemic shifted academic collaboration from in-person to remote interactions. This study explores, for the first time, the effects on scientific collaborations and im…
An Efficient Network-aware Direct Search Method for Influence Maximization
Matteo Bergamaschi, Sara Venturini, Francesco Tudisco +1
Influence Maximization (IM) is a pivotal concept in social network analysis, involving the identification of influential nodes within a network to maximize the number of influenced…
Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs
Sara Venturini, Andrea Cristofari, Francesco Rinaldi +1
Clustering (or community detection) on multilayer graphs poses several additional complications with respect to standard graphs as different layers may be characterized by differen…
Collaboration and topic switches in science
Sara Venturini, Satyaki Sikdar, Francesco Rinaldi +2
Collaboration is a key driver of science and innovation. Mainly motivated by the need to leverage different capacities and expertise to solve a scientific problem, collaboration is…
Laplacian-based Semi-Supervised Learning in Multilayer Hypergraphs by Coordinate Descent
Sara Venturini, Andrea Cristofari, Francesco Rinaldi +1
Graph Semi-Supervised learning is an important data analysis tool, where given a graph and a set of labeled nodes, the aim is to infer the labels to the remaining unlabeled nodes.…
A Variance-aware Multiobjective Louvain-like Method for Community Detection in Multiplex Networks
Sara Venturini, Andrea Cristofari, Francesco Rinaldi +1
In this paper, we focus on the community detection problem in multiplex networks, i.e., networks with multiple layers having same node sets and no inter-layer connections. In parti…